Access the full text.
Sign up today, get DeepDyve free for 14 days.
E. Parzen (1962)
Stochastic Processes
H. A. David (1981)
Order Statistics
W. E. Paul (1983)
Fundamental Immunology
D. J. Finney (1978)
Statistical Method in Biological Assay
J. F. Lawless (1982)
Statistical Models and Methods for Lifetime Data
I. Roitt (1980)
Essential Immunology
R. J. Glasser (1976)
The Body Is the Hero
A. S. Perelson (1979)
Lectures on Mathematics in the Life Sciences
S. J. Merrill (1979)
Modeling and Differential Equations in Biology
S. Karlin, H. M. Taylor (1975)
A First Course in Stochastic Processes
I. Lefkovits, H. Waldmann (1979)
Limiting Dilution Analysis of Cells in the Immune System
H. N. Eisen (1980)
Immunology
G. I. Bell, A. S. Perelson, G. H. Pimbley (1978)
Theoretical Immunology
A. S. Perelson (1980)
Mathematical Models in Molecular and Cellular Biology
Conditional probability arguments and the theory of continuous-time Markov chains are used to develop models for the kinetics of a cell-mediated cytotoxic reaction. While the models are conceptually simple, when fitted to data, they lead to surprising insights into the mechanisms of the immune response. Based on examples and discussion, we demonstrate the potential for creative and relevant application of mathematics within the rapidly developing field of immunology.
Acta Applicandae Mathematicae – Springer Journals
Published: May 6, 2004
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.